Text-to-Speech
Transformers
Safetensors
higgs_multimodal_qwen3
text-generation
speech-generation
voice-agent
expressive-speech
controllable-tts
multilingual-tts
Instructions to use bosonai/higgs-audio-v3-tts-4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bosonai/higgs-audio-v3-tts-4b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="bosonai/higgs-audio-v3-tts-4b")# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("bosonai/higgs-audio-v3-tts-4b", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 2,755 Bytes
0056125 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 | {
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"architectures": [
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"encoder_type": "discrete",
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"mel_per_sample": 8,
"model_type": "higgs_audio_encoder",
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"output_attentions": false,
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"model_type": "higgs_multimodal_qwen3",
"text_config": {
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"architectures": [
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"use_cache": true,
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"transformers_version": "5.5.0"
}
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